lsq117

blinear-cnn-faster

A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition

Brain-Tumor-Segmentation-3D-UNet-CNN

Brain tumor segmentation using a 3D UNet CNN

Breast-Cancer-Prediction

Breast Cancer Prediction Using Machine Learning is a project which is going to deal with machine learning techniques, a state-of-the-art type of artificial intelligence that can be used by computers to detect and classify objects in images, could improve detection of breast cancer lesions in mammograms and help in the classification of breast cancer

Breast_Cancer_Classification_Neural_Network

Classifying Breast Cancer Stages from MRI data

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Deep-Learning-Fine-Grained-Action-Recognition-Canine-Behavior

This repository contains the dataset, code and paper for my project: Capturing Spatial and Temporal Context for Fine Grained Canine Behaviour Action Recognition

Defining-Public-Scenes-from-Private-Using-MIT-Indoor67

we mixed and matched several feature extraction methods and classifiers to separate public images from private ones. We compared the performance of image feature extraction tools, including Convolutional Neural Networks (CNNs), Scale-Invariant Feature Transform (SIFT), and VGG16. We also studied through several state-of-the-art classifiers, including Multilayer Perceptron (MLP), Support Vector Machine (SVM) and K-Means, Linear Discriminant Analysis (LDA), Random Forest (RF) to see which classifier works best with which feature extraction tool. Index Terms—Indoor Scene Classification, Transfer Learning, SIFT, CNN, VGG16, SVM

makeyourownneuralnetwork

Code for the Make Your Own Neural Network book

MedMNIST

[v1 (ISBI'21) + v2] MedMNIST: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification

opencv

Open Source Computer Vision Library

lsq117/blinear-cnn-faster

A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition

lsq117/Brain-Tumor-Segmentation-3D-UNet-CNN

Brain tumor segmentation using a 3D UNet CNN

lsq117/Breast-Cancer-Prediction

Breast Cancer Prediction Using Machine Learning is a project which is going to deal with machine learning techniques, a state-of-the-art type of artificial intelligence that can be used by computers to detect and classify objects in images, could improve detection of breast cancer lesions in mammograms and help in the classification of breast cancer

lsq117/Breast_Cancer_Classification_Neural_Network

Classifying Breast Cancer Stages from MRI data

lsq117/COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

lsq117/Deep-Learning-Fine-Grained-Action-Recognition-Canine-Behavior

This repository contains the dataset, code and paper for my project: Capturing Spatial and Temporal Context for Fine Grained Canine Behaviour Action Recognition

lsq117/Defining-Public-Scenes-from-Private-Using-MIT-Indoor67

we mixed and matched several feature extraction methods and classifiers to separate public images from private ones. We compared the performance of image feature extraction tools, including Convolutional Neural Networks (CNNs), Scale-Invariant Feature Transform (SIFT), and VGG16. We also studied through several state-of-the-art classifiers, including Multilayer Perceptron (MLP), Support Vector Machine (SVM) and K-Means, Linear Discriminant Analysis (LDA), Random Forest (RF) to see which classifier works best with which feature extraction tool. Index Terms—Indoor Scene Classification, Transfer Learning, SIFT, CNN, VGG16, SVM

lsq117/makeyourownneuralnetwork

Code for the Make Your Own Neural Network book

lsq117/MedMNIST

[v1 (ISBI'21) + v2] MedMNIST: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification

lsq117/opencv

Open Source Computer Vision Library

lsq117/remove-bg

A Python API wrapper for removing background using remove.bg's API

lsq117/resnet_cnn_mri_adni

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

lsq117/ResUnet-model-for-building-segmentation

This repo is used to extract buildings from aerial images

lsq117/scratchDetection

multi ways of scratch detection

lsq117/self-driving

lsq117/SlicerSegmentationWizard

This is a 3D model-based segmentation tool for 3D Slicer. It includes utilities for calculating subtraction maps and thresholding intensities. It can be downloaded as an extension to 3D Slicer.

lsq117/Spring-Automatic-Defect-Detection

detect Spring defection using opencv

lsq117/zhihu_material